Remote Product Architect (AI)

Description:

• The Product Architect owns all technical matters related to their assigned products, focusing on creating AI-powered tools that enhance existing product capabilities.
• Responsibilities include designing and orchestrating feature implementations for AI-driven functionalities and maintaining the architectural integrity of these enhancements.
• The role ensures that best practices and architectural guidelines are followed across the AI and machine learning domains.
• The architect will develop a deep understanding of both the product code base and AI tools, including LLM applications, through hands-on experimentation and exploration.
• They will design and implement AI-powered tools that integrate seamlessly with existing product workflows.
• The architect will assess and shepherd the technical delivery of AI enhancements to ensure adherence to best practices.
• They will drive continual improvement of development processes, emphasizing machine learning pipelines and LLM training.
• Collaboration with the Product Management Team and other stakeholders is essential, contributing to the product roadmap, product requirements, and product release schedule.
• The architect will identify gaps in the technical aspects of the end user experience and estimate software development requirements and effort, proposing alternatives and prioritizing development tasks.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field is required.
• Candidates must have 4+ years of experience in software engineering.
• Hands-on experience in building and deploying AI/ML solutions in production is necessary.
• Strong experience in Natural Language Processing (NLP) with LLMs is required.
• A strong understanding of API development for integrating AI solutions is essential.
• Experience with Retrieval-Augmented Generation (RAG), LlamaIndex, and LangChain is preferred.
• Familiarity with cloud platforms, specifically AWS, is required.
• Experience with fine-tuning LLMs is necessary.
• Proficiency in Ruby is a must-have, while experience in TypeScript and Python is nice to have.
• Familiarity with MLOps best practices, including model deployment, monitoring, versioning, and lifecycle management, is required.
• The ability to build scalable and efficient AI pipelines is essential.
• An understanding of data engineering best practices, including ETL pipelines and data lakes, is necessary.
• Knowledge of data processing techniques for NLP applications, including preprocessing text and using embeddings for LLM-based applications, is required.
• Experience designing scalable and cost-effective AI architectures that handle real-world constraints is necessary.
• Strong knowledge of performance optimization for AI-driven applications is required.
• Understanding of security and compliance in AI solutions is essential.
• Experience working with containerization tools like Docker and Kubernetes for AI model deployment is preferred.
• The ability to create documentation that communicates both business-level understanding and technical implementation details is necessary.
• Candidates must be able to work with cross-functional teams, including data engineers, software engineers, and product managers.

Benefits:

• The position offers a remote work environment, allowing for flexibility in work location.
• It is a full-time role, providing job security and stability.
• The company promotes an inclusive workplace, being an Equal Opportunity Employer.
• Employees will have the opportunity to work on cutting-edge AI technologies and tools.
• The role allows for collaboration with cross-functional teams, enhancing professional growth and learning.
• The company is committed to respecting and protecting the privacy of its employees and applicants.